Repository logo
 
Publication

The use of diffuse reflectance mid-infrared spectroscopy for the prediction of the concentration of chemical elements estimated by X-ray fluorescence in agricultural and grazing European soils

dc.contributor.authorSoriano-Disla, J. M.
dc.contributor.authorJanik, L.
dc.contributor.authorMcLaughlin, M. J.
dc.contributor.authorForrester, S.
dc.contributor.authorKirby, J.
dc.contributor.authorReimann, Clemens
dc.contributor.authorThe EuroGeoSurveys GEMAS Project Team
dc.date.accessioned2014-01-22T21:18:14Z
dc.date.available2014-01-22T21:18:14Z
dc.date.issued2013-02
dc.description.abstractThe aim of this study was to develop partial least-squares (PLS) regression models using diffuse reflectance Fourier transform mid-infrared (MIR) spectroscopy for the prediction of the concentration of elements in soil determined by X-ray fluorescence (XRF). A total of 4130 soils from the GEMAS European soil sampling program (geochemical mapping of agricultural soils and grazing land of Europe) were used for the development of models to predict concentrations of Al, As, Ba, Ca, Ce, Co, Cr, Cs, Cu, Fe, Ga, Hf, K, La, Mg, Mn, Na, Nb, Ni, P, Pb, Rb, Sc, Si, Sr, Th, Ti, V, Y, Zn and Zr in soil using MIR spectroscopy. The results were compared with those obtained where MIR models were developed with the same soils but using the concentration of elements extracted with aqua regia (AR). The PLS models were cross-validated against the experimental log-transformed XRF values of all the elements. The calibration models were derived from a set of 1000 randomly selected calibration samples. The rest of the samples (3130) were used as an independent validation set. According to the residual predictive deviation (RPD), predictions were classified as follows: “Good quality”, Ca (2.9), Mg (2.5), Al (2.3), Fe (2.2), Ga (2.2), Si (2.1), Na (2.0); “Indicator quality”, V (1.9), Ni (1.9), Sc (1.9), K (1.8), Ti (1.8), Rb (1.8), Zn (1.7), Co (1.7), Zr (1.6), Cr (1.6), Sr (1.6), Y (1.6), Nb (1.6), Ba (1.5), Mn (1.5), As (1.5), Ce (1.5); “Poor quality”, Cs (1.4), Th (1.4), P (1.4), Cu (1.4), Pb (1.3), La (1.2), Hf (1.1). Good agreement was observed between the RPD values obtained for the elements analysed in this study and those from the AR study. Despite the different elemental concentrations determined by the XRF method compared to the AR method, MIR spectroscopy was still capable of predicting elemental concentrations.por
dc.identifier.citationSoriano-Disla, J. M... [et al.] - The use of diffuse reflectance mid-infrared spectroscopy for the prediction of the concentration of chemical elements estimated by X-ray fluorescence in agricultural and grazing European soils. In: Applied Geochemistry, Vol. 29 (February 2013), p. 135-143por
dc.identifier.issn0883-2927
dc.identifier.urihttp://hdl.handle.net/10400.9/2136
dc.language.isoengpor
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.apgeochem.2012.11.005por
dc.subjectGeoquímica ambientalpor
dc.subjectAgriculturapor
dc.subjectSolospor
dc.subjectEspectroscopia de raios infra-vermelhospor
dc.subjectFluorescência de raios-Xpor
dc.subjectEuropapor
dc.titleThe use of diffuse reflectance mid-infrared spectroscopy for the prediction of the concentration of chemical elements estimated by X-ray fluorescence in agricultural and grazing European soilspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleApllied Geochemistrypor
rcaap.rightsopenAccesspor
rcaap.typearticlepor

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
35929_p1.pdf
Size:
400.18 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: